Inverted-file for Image Retrieval Based on Visual Words
Date Issued
2009
Date
2009
Author(s)
Chiu, Chien-Kai
Abstract
In this thesis, we identify problems for common inverted-file indexing methods in image retrieval based on visual words. Instead of searching through a huge collection of images, inverted-file is an important indexing technique which can quickly pull out a subset of images that are likely to be correct search results. While latest works trying to use this technique, there are still no clear methodologies proposed now. e investigate and adopt text-based inverted methods for image retrieval, and also propose methods to identify subsets of visual words for largely improving retrieval efficiency and performance.
Subjects
inverted-file
image retrieval
visual word
scoring method
term frequency
upper bound
Type
thesis
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